My research interests are in the areas of statistical data privacy, specifically, differential privacy and its relationship to machine learning and to information theory. I examine the application of differential privacy to problems such as synthetic graph learning, regression in high dimensions, and computing functions of stream data. I am also interested in foundational approaches to privacy, and am currently examining the information-theoretic foundations of differential privacy. Here you can find more details of my research projects.

I am passionate about teaching and mentoring. As a graduate student, I have had the opportunity to teach concepts and courses within Computer Science, both as an instructor and as a teaching assistant. I have been a research mentor, as well as a mentor for undergraduate students' broader academic pursuits in Science. I enjoy contributing to, and being part of the, intellectual journey of my mentees and students.

I also like reaching out to students and learners outside academia. I have been a semester-long volunteer for an after-school program in Math, with the New York Academy of Sciences. I also taught and co-organized a summer robotics workshop using Arduino and Scratch to schoolgirls in Indian-administered Kashmir.

Last May, fellow graduate student Brian Thompson and I visited Piscataway High School with Rutgers CS faculty Fran Trees to talk to students about what Computer Science is, and what kinds of problems Computer Scientists solve. Here is a prezi of our talk.